Effective extraction of query relevant information present within documents on the web is a nontrivial task. In this paper we present our system called QueSTS, which does the abov...
M. Sravanthi, C. Ravindranath Chowdary, P. Sreeniv...
The paper is dedicated to an analysis of the classic business rules study called UServ. The importance of this study comes from the fact, that it serves as a benchmark example for...
We investigate the use of self-predicting neural networks for autonomous robot learning within noisy or partially predictable environments. A benchmark experiment is performed in ...
James B. Marshall, Neil K. Makhija, Zachary D. Rot...
Recommendation systems suggest products to users. Collaborative filtering (CF) systems, which base those recommendations on a database of previous ratings by various users and pro...
Xiaoyuan Su, Taghi M. Khoshgoftaar, Russell Greine...
This study explores how Latent Semantic Analysis (LSA) can be used as a method to examine the lexical development of second language (L2) speakers. This year long longitudinal stu...
Scott A. Crossley, Thomas L. Salsbury, Philip M. M...